Select Publications
Books
, 2019, Preface, http://dx.doi.org/10.1016/B978-0-12-815862-3.00006-8
, 2017, Handbook of Approximate Bayesian Computation, Chapman & Hall
Book Chapters
, 2020, 'Chapter 1 Bayesian quantile regression with the asymmetric Laplace distribution', in Flexible Bayesian Regression Modelling, Elsevier, pp. 1 - 25, http://dx.doi.org/10.1016/b978-0-12-815862-3.00007-x
, 2020, 'Preface', in Flexible Bayesian Regression Modelling, Elsevier, pp. xiii - xiv, http://dx.doi.org/10.1016/b978-0-12-815862-3.00006-8
, 2019, 'Bayesian quantile regression with the asymmetric Laplace distribution', in Flexible bayesian regression modelling, Academic Press, pp. 1 - 25, http://dx.doi.org/10.1016/B978-0-12-815862-3.00007-X
, 2018, 'High-Dimensional ABC', in Handbook of Approximate Bayesian Computation, Chapman and Hall/CRC, pp. 211 - 241, http://dx.doi.org/10.1201/9781315117195-8
, 2018, 'ABC Samplers', in Sisson S; Fan Y; Beaumont M (ed.), Handbook of Approximate Bayesian Computation, Chapman & Hall, pp. 87 - 123, http://dx.doi.org/10.1201/9781315117195-4
, 2018, 'High-dimensional approximate Bayesian computation', in Sisson S; Fan Y; Beaumont M (ed.), Handbook of Approximate Bayesian Computation, Chapman & Hall, pp. 211 - 242
, 2018, 'Overview of Approximate Bayesian Computation', in Sisson S; Fan Y; Beaumont M (ed.), Handbook of Approximate Bayesian Computation, Chapman & Hall, pp. 3 - 54, https://www.amazon.com/Handbook-Approximate-Computation-Handbooks-Statistical/dp/1439881502
, 2018, 'ABC in nuclear imaging', in Fan Y; Sisson SA; Beaumont M (ed.), Handbook of approximate bayesian computation, CRC Press, https://www.crcpress.com/Handbook-of-Approximate-Bayesian-Computation/Sisson-Fan-Beaumont/p/book/9781439881507
, 2011, 'Likelihood-free MCMC', in Brooks S; Gelman A; Jones GL; Meng X-L (ed.), Handbook of Markov Chain Monte Carlo, Taylor and Francis Group, USA, pp. 313 - 333
, 2011, 'Reversible Jump MCMC', in Brooks S; Gelman A; Jones GL; Meng X-L (ed.), Handbook of Markov Chain Monte Carlo, Taylor and Francis Group, USA, pp. 67 - 87
Edited Books
Fan Y; Nott D; Dortet-Bernadet J-L; Smith M, (eds.), 2019, Flexible Bayesian Regression Modelling, Academic Press
Sisson S; Fan Y; Beaumont M, (eds.), 2018, Handbook of Approximate Bayesian Computation, Chapman and Hall/CRC Press, https://www.crcpress.com/Handbook-of-Approximate-Bayesian-Computation/Sisson-Fan-Beaumont/p/book/9781439881507
Journal articles
, 2024, 'Bias intervention messaging in student evaluations of teaching: The role of gendered perceptions of bias', Heliyon, 10, http://dx.doi.org/10.1016/j.heliyon.2024.e37140
, 2024, 'A topic model analysis of students' gendered expectations using surveyed critiques of lecturers', Frontiers in Education, 9, http://dx.doi.org/10.3389/feduc.2024.1296771
, 2024, 'Bayesian L
, 2023, 'A synthetic likelihood approach for intractable markov random fields', Computational Statistics, 38, pp. 749 - 777, http://dx.doi.org/10.1007/s00180-022-01256-x
, 2022, 'Cell graph neural networks enable the precise prediction of patient survival in gastric cancer', npj Precision Oncology, 6, http://dx.doi.org/10.1038/s41698-022-00285-5
, 2022, 'APPROXIMATE EQUIVARIANCE SO(3) NEEDLET CONVOLUTION', Proceedings of Topological, Algebraic, and Geometric Learning Workshops (ICML 2022), 196, pp. 189 - 198
, 2022, 'Gender Bias in Student Evaluations of Teaching: ‘Punish[ing] Those Who Fail To Do Their Gender Right’', Higher Education, 83, pp. 787 - 807, http://dx.doi.org/10.1007/s10734-021-00704-9
, 2022, 'Probabilistic Projections of El Niño Southern Oscillation Properties Accounting for Model Dependence and Skill', Scientific Reports, http://dx.doi.org/10.1038/s41598-022-26513-3
, 2021, 'A novel approach for discovering stochastic models behind data applied to El Niño–Southern Oscillation', Scientific Reports, 11, http://dx.doi.org/10.1038/s41598-021-81162-2
, 2021, 'A flexible data-driven cyclostationary model for the probability density of El Niño-Southern Oscillation', Chaos, 31, http://dx.doi.org/10.1063/5.0060104
, 2021, 'A Markov chain method for weighting climate model ensembles', Geoscientific Model Development, 14, pp. 3539 - 3551, http://dx.doi.org/10.5194/gmd-14-3539-2021
, 2021, 'PET-ABC: Fully Bayesian likelihood-free inference for kinetic models', Physics in Medicine and Biology, 66, pp. 115002, http://dx.doi.org/10.1088/1361-6560/abfa37
, 2020, 'CosmoVAE: Variational Autoencoder for CMB Image Inpainting', IEEE Proceedings of the International Joint Conference on Neural Networks (IJCNN)
, 2020, 'Haar Graph Pooling', Proceedings of international conference on machine learning (ICML), 119, pp. 9952 - 9962, http://proceedings.mlr.press/v119/wang20m.html
, 2019, 'A novel method to test non-exclusive hypotheses applied to Arctic ice projections from dependent models', Nature Communications, 10, pp. 3016, http://dx.doi.org/10.1038/s41467-019-10561-x
, 2019, 'Simultaneous fitting of Bayesian penalised quantile splines', Computational Statistics and Data Analysis, 134, pp. 93 - 109, http://dx.doi.org/10.1016/j.csda.2018.12.009
, 2019, 'Pyramid Quantile Regression', Journal of Computational and Graphical Statistics, 28, pp. 1 - 25, http://dx.doi.org/10.1080/10618600.2019.1575225
, 2019, 'Accounting for skill in trend, variability, and autocorrelation facilitates better multi-model projections: Application to the AMOC and temperature time series', PLoS ONE, 14, pp. e0214535, http://dx.doi.org/10.1371/journal.pone.0214535
, 2019, 'Gender and cultural bias in student evaluations: Why representation matters', PLoS ONE, 14, http://dx.doi.org/10.1371/journal.pone.0209749
, 2019, 'A review of Approximate Bayesian Computation methods via density estimation: inference for simulator-models', WIREs Computational Statistics, e1486, http://dx.doi.org/10.1002/wics.1486
, 2018, 'North Atlantic observations sharpen meridional overturning projections', Climate Dynamics, 50, pp. 4171 - 4188, http://dx.doi.org/10.1007/s00382-017-3867-7
, 2018, 'A Novel Approach for Markov Random Field With Intractable Normalizing Constant on Large Lattices', Journal of Computational and Graphical Statistics, 27, pp. 59 - 70, http://dx.doi.org/10.1080/10618600.2017.1317263
, 2017, 'A Bayesian posterior predictive framework for weighting ensemble regional climate models', Geoscientific Model Development, 10, pp. 2321 - 2332, http://dx.doi.org/10.5194/gmd-10-2321-2017
, 2017, 'Extending approximate Bayesian computation methods to high dimensions via a Gaussian copula model', Computational Statistics and Data Analysis, 106, pp. 77 - 89, http://dx.doi.org/10.1016/j.csda.2016.07.005
, 2017, 'A Bayesian posterior predictive framework for weighting ensemble regional climate models', , http://dx.doi.org/10.5194/gmd-2016-291
, 2017, 'Multivariate nonparametric test of independence', Journal of Multivariate Analysis, 153, pp. 189 - 210, http://dx.doi.org/10.1016/j.jmva.2016.09.014
, 2016, 'Adaptive optimal scaling of Metropolis–Hastings algorithms using the Robbins–Monro process', Communications in Statistics - Theory and Methods, 45, pp. 5098 - 5111, http://dx.doi.org/10.1080/03610926.2014.936562
, 2016, 'A simple method for Bayesian model averaging of regional climate model projections: Application to southeast Australian temperatures', Geophysical Research Letters, 43, pp. 7661 - 7669, http://dx.doi.org/10.1002/2016GL069704
, 2016, 'Regression adjustment for noncrossing Bayesian quantile regression', Journal of Computational and Graphical Statistics, http://dx.doi.org/10.1080/10618600.2016.1172016
, 2016, 'A Bayesian spatial temporal mixtures approach to kinetic parametric images in dynamic positron emission tomography', Medical Physics, 43, pp. 1222 - 1234, http://dx.doi.org/10.1118/1.4941010
, 2016, 'Relabelling algorithms for mixture models with applications for large data sets', Journal of Statistical Computation and Simulation, 86, pp. 394 - 413, http://dx.doi.org/10.1080/00949655.2015.1015129
, 2015, 'Bayesian threshold selection for extremal models using measures of surprise', Computational Statistics and Data Analysis, 85, pp. 84 - 99, http://dx.doi.org/10.1016/j.csda.2014.12.004
, 2014, 'Approximate Bayesian computation and Bayes' linear analysis: Toward high- dimensional ABC', Journal of Computational and Graphical Statistics, 23, pp. 65 - 86, http://dx.doi.org/10.1080/10618600.2012.751874
, 2014, 'Simultaneous adjustment of bias and coverage probabilities for confidence intervals', Computational Statistics and Data Analysis, 70, pp. 35 - 44, http://dx.doi.org/10.1016/j.csda.2013.08.016
, 2013, 'Approximate Bayesian computation via regression density estimation', Stat, 2, pp. 34 - 48, http://dx.doi.org/10.1002/sta4.15
, 2012, 'Discussion on the paper of Fearnhead and Prangle "Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation"', Journal of the Royal Statistical Society Series B - Statistical Methodology, 74, pp. 466 - 468